Job Description
Join our elite quantitative team at Quantum Analytics Partners, where data drives financial innovation. As an Equity Options Data Analyst, you'll transform complex market data into actionable insights that shape our trading strategies. Collaborate with seasoned quants and traders to optimize option pricing models, identify arbitrage opportunities, and enhance risk management frameworks. This role offers unparalleled exposure to real-world financial markets while working with cutting-edge technology in a collaborative, high-performance environment.
Responsibilities
- Analyze and interpret equity options market data to identify pricing discrepancies and trading signals
- Develop and maintain automated data pipelines for options pricing models using SQL and Python
- Validate and clean datasets from multiple sources including Bloomberg, OptionMetrics, and exchange feeds
- Build interactive dashboards using Power BI/Tableau to visualize options analytics
- Collaborate with derivatives traders to refine strategies based on data-driven insights
- Conduct ad-hoc analysis on volatility surfaces, implied correlations, and exotic structures
- Document methodologies and communicate findings to cross-functional stakeholders
Qualifications
- Bachelor's degree in Finance, Statistics, Mathematics, Computer Science, or related field
- 3+ years of experience in financial data analysis, preferably with equity derivatives
- Proficiency in SQL for data extraction and manipulation from large datasets
- Advanced skills in Python (Pandas, NumPy) and R for quantitative analysis
- Deep understanding of options pricing models (Black-Scholes, Binomial, Monte Carlo)
- Experience with financial APIs (Bloomberg, Refinitiv) and market data platforms
- Strong knowledge of statistical analysis and machine learning techniques
- Ability to translate complex data into actionable business recommendations